"Public Security + Artificial Intelligence" Special Issue:Safety Resilience Evaluation of Urban New Energy Vehicle Charging Stations Based on the G1-CRITIC-Cloud Model

Driven by the policy of the “dual carbon” strategy, the new energy electric vehicle industry is witnessing large-scale development. As critical infrastructure, the safe operation of charging stations is directly related to social public security. To this end, this study defines the concept of safety resilience in combination with the operational characteristics of charging stations, constructs a “four-stage and three-dimensional space” analytical framework, and selects 26 core indicators to establish an evaluation system. It integrates the G1 rank correlation analysis method and the CRITIC method to realize combined weighting, and introduces the cloud model to quantify the fuzziness and randomness in the evaluation, thus building a safety resilience measurement model that embodies both subjective and objective characteristics and uncertainty representation. An empirical analysis is conducted on 9 typical charging stations in Jiaozuo City. The results show that the safety resilience of charging stations in Jiaozuo City presents a “stepwise distribution”, with some stations reaching the excellent level; in addition, the resilience in the resistance and response stages is generally better than that in the recovery and adaptation stages. Basic indicators such as physical protection and fire-fighting facilities, as well as emergency response efficiency, are common obstacles for all stations, and different types of stations also have scenario-specific shortcomings. The evaluation model constructed in this study can provide an accurate quantitative assessment tool for improving the safety resilience of charging stations, and also offer a systematic methodology for the safety management of new energy charging infrastructure.